Optimization Theory and Methods can be used as a textbook for an optimization course for graduates and senior undergraduates. It is the result of the author's teaching and research over the past decade. It describes optimization theory and several powerful methods. For most methods, the book discusses an idea’s motivation, studies the derivation, establishes the global and local convergence, describes algorithmic steps, and discusses the numerical performance.

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"The book contains a comprehensive presentation of methods for unconstrained and constrained optimization problems. ... The main strength of the book is the precise convergence analysis of most nonlinear programming algorithms presented, and it is especially comprehensive for line search, Newton, quasi-Newton, trust region and SQP methods. In this respect the book is a very valuable reference." (Darinka Dentcheva, Mathematical Reviews, Issue 2007 c)

"Optimization is a subject that is widely and increasingly used in science, engineering, economics, management, industry, and other areas. ... The book is self-contained, systematic in theory and algorithms, and easy to read. ... The book also contains an extensive ... bibliography with 366 references, which is an important part of the book, and is useful to readers for further studies. Each chapter ends with an exercise set." (Alexandr B. Vasil’ev, Zentralblatt MATH, Vol. 1129 (7), 2008)

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